International Journal on Science and Technology

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Water Risk Compliance: A Retrieval-Augmented, Explainable, and Interactive System for Drinking Water Compliance Analytics

Author(s) Pramath Parashar
Country United States
Abstract Ensuring compliance with drinking water standards is a critical global challenge, as exceedances in contaminants such as arsenic, nitrate, and uranium pose significant risks to public health and regulatory accountability. Existing monitoring systems are often fragmented, lack explainability, and provide limited support for rapid decision-making. This paper introduces WaterRiskCompliance, an interactive and explainable compliance analytics framework that unifies data ingestion, automated cleaning, retrieval-augmented reasoning, and regulatory visualization. The system leverages open water quality datasets, harmonizes measurements into consistent units (mg/L), and applies retrieval- augmented generation (RAG) with local or cloud-based large language models to generate concise compliance narratives. A dynamic dashboard enables users to filter by analyte, county, or time range, and provides multi- layer visualizations, including exceedance bar charts, spatial maps, and time-series trends aligned with regulatory action levels. A built-in module generates standardized PDF compliance briefs, bridging raw data and actionable insights. Through a case study on Arizona groundwater, the framework demonstrates how modern AI and interactive visualization can accelerate regulatory compliance assessment, improve transparency, and support evidence-driven decision-making in environmental monitoring.
Field Engineering
Published In Volume 16, Issue 3, July-September 2025
Published On 2025-09-13
DOI https://doi.org/10.71097/IJSAT.v16.i3.8748
Short DOI https://doi.org/g97jsr
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